Corpus ID: 15225646

Performance Evaluation of Modified Segmentation on Multi Block For Gesture Recognition System

  title={Performance Evaluation of Modified Segmentation on Multi Block For Gesture Recognition System},
  author={M. M. Hasan and P. K. Mishra},
Gestures are the new silent language for controlling the human-made machines such as robotics, many recent researches toward enhancing this relation and obtaining good recognition rate were commenced, in this paper; we are trying to evaluate the performance of using multi block size for hand gesture and project this study in two cases which are the presence of edge detection operation in the preprocessing steps and the its absence. The recognition time we have achieved in case of the presence… Expand
The diverse applications of hand gesture recognition system accepted it great attention especially in the past few years, besides the recognition system ability to interact with machine naturally andExpand
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A review of recent hand gesture recognition systems is presented with description of hand gestures modelling, analysis and recognition, and research advantages and drawbacks are provided. Expand
Vision based Calculator for Speech and Hearing Impaired using Hand Gesture Recognition
A real time and fast command system through hand gesture recognition, using low cost sensors, like a simple personal computer and an USB web cam, so any user could make use of it in his industry or home. Expand
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A novel approach using multivariate Gaussian distribution function for finding a permanent remedy for translation, scaling, as well as rotation as one pack is implemented and achieves a remarkable recognition rates especially with few number of training samples. Expand
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This paper presents a comprehensive survey on the vision-based dynamic gesture recognition approaches, a comparative study on those methods, and finds out the issues and challenges in this area. Expand
A Survey on Vision-based Dynamic Gesture Recognition
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The main and primary objective of the gesture recognition research is to establish a system which can identify specific human gestures and utilize these identified gestures to be carried out by theExpand
Vision-Based Static Hand Gesture Recognition Using Support Vector Machines
Given that advances in technology have increased rapidly over the past few years, developing a vision-based recognition system that could aid in the interaction between the Deaf and the hearing doesExpand
Computer Vision Based Hand Gesture Recognition Using Artificial Neural Network
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Hand gesture recognition using neural networks
  • G. Murthy, R. S. Jadon
  • Computer Science
  • 2010 IEEE 2nd International Advance Computing Conference (IACC)
  • 2010
A system which can identify specific hand gestures and use them to convey information and could achieve up to 89% correct results on a typical test set is designed. Expand
Orientation Histograms for Hand Gesture Recognition
A method to recognize hand gestures, based on a pattern recognition technique developed by McConnell employing histograms of local orientation, which is simple and fast to compute, and which can distinguish a small vocabulary of about 10 hand gestures. Expand
Hidden Markov Model for Gesture Recognition
The proposed method is applicable to any gesture represented by a multi- dimensional signal, and will be a valuable tool in telerobotics and human computer interfaces. Expand
Gesture Recognition: A Survey
  • S. Mitra, T. Acharya
  • Computer Science
  • IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
  • 2007
A survey on gesture recognition with particular emphasis on hand gestures and facial expressions is provided, and applications involving hidden Markov models, particle filtering and condensation, finite-state machines, optical flow, skin color, and connectionist models are discussed in detail. Expand
Gesture Recognition Based on Fuzzy C-Means Clustering Algorithm
Robots of the future should communicate with humans in a natural way. We are especially interested in visionbased gesture interaction. This paper describes a hand gesture recognition system whichExpand
Real-time hand gesture telerobotic system using fuzzy c-means clustering
A teleoperation system in which an articulated robot performs a block pushing task based on hand gesture commands sent through the Internet using a fuzzy c-means clustering method, which revealed rapid learning and recognition accuracy. Expand
Hand gesture recognition using input-output hidden Markov models
A new hand gesture recognition method based on input-output hidden Markov models is presented, which recognizes two classes of gestures: deictic and symbolic. Expand